To find the line of best fit using Desmos, enter the provided data points and use the tool's regression function, which will yield the final equation in the y = mx + b format.
To find the line of best fit for the given data using Desmos or a calculator, you would first enter the data points (1, 2), (3, 15), (4, 8), (6, 14), and (7, 20) into the tool. Then, you would use the regression function to calculate the least-squares regression line. Desmos will give you the equation in the form y = mx + b, where 'm' represents the slope and 'b' represents the y-intercept.
This equation minimizes the sum of the squared differences between the observed values and the values predicted by the line. After entering the data and performing the regression analysis, Desmos will provide the final equation, which you can then use to make predictions or analyze the data further.
The final equation of the line of best fit will look something like y = mx + b, where 'm' and 'b' have been calculated based on your data points.